Startups

Learning Engineer

Meeno · Mountain View, CA · On-site

← All jobs
About Meeno

Backed by Sequoia.

About the role

You will apply deep expertise in teaching to build products that result in learners actually developing new skills — not just consuming content. You sit at the intersection of pedagogy and engineering: close enough to the craft of teaching to know what makes an explanation land, and close enough to the technology to ship it.

What they're looking for

  • - Real teaching experience — you have taught people a skill (classroom, corporate training, coaching, course creation) and can articulate what worked and why
  • - In-depth knowledge of instructional design and learning-science fundamentals (retrieval practice, worked examples, feedback, cognitive load) and a record of applying them, not just citing them
  • - Hands-on builder: comfortable with modern AI tools and light engineering (Python or JavaScript, prompt design, quick prototypes), you ship things learners touch
  • - Demonstrated ability to create interactive, applied learning experiences — evidence over credentials
  • - Excellent writing, you can author and edit high-quality learning content in English
More about this role

For most of history, great teaching has been scarce. A brilliant teacher who knows you well, adapts to how you learn, and patiently stays with you until you get there — almost no one has had that. AI changes what's possible. LearnVector, founded by Andrew Ng, is building a trustworthy AI guide for learning, with a mission to accelerate human development. We're a small, fast-moving team working on-site in Mountain View, California and backed by a $100 million investment from Coursera.

You will apply deep expertise in teaching to build products that result in learners actually developing new skills — not just consuming content. You sit at the intersection of pedagogy and engineering: close enough to the craft of teaching to know what makes an explanation land, and close enough to the technology to ship it.

Great teaching is full of judgment calls: when to show a worked example, when to make the learner produce, when to let them struggle, when to step in. Your job is to encode that judgment into products and into the systems that generate learning experiences at scale, so the quality of the best human teaching survives being automated.

  • Design learning experiences — practice tasks,...

Read the full posting on Meeno's site ↗

Engineering

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.